Intelligent and rapid event-based load shedding pre-determination for large-scale power systems: Knowledge-enhanced parallel branching dueling Q-network …
With the increasing penetration of renewable energy, power system instability factors are
rising. Transient voltage instability is a common power system problem that can cause …
rising. Transient voltage instability is a common power system problem that can cause …
A newton method-based distributed algorithm for multi-area economic dispatch
In this paper, we propose a novel Newton method-based distributed algorithm (NMDA),
which is also effective in solving the general single-area EDP (SAEDP), to deal with the multi …
which is also effective in solving the general single-area EDP (SAEDP), to deal with the multi …
Distributed economic MPC for LFC of multi-area power system with wind power plants in power market environment
C Zhang, S Wang, Q Zhao - International Journal of Electrical Power & …, 2021 - Elsevier
The rising penetration of renewable energy and the diverse power transaction mechanisms
in power market environment (PME) make the control problem of the power system more …
in power market environment (PME) make the control problem of the power system more …
Whale optimization controller for load frequency control of a two-area multi-source deregulated power system
This article discusses a Whale Optimization (WO) controller for design analysis, stability
management, application, and performance analysis of a deregulated two-area multi-source …
management, application, and performance analysis of a deregulated two-area multi-source …
[HTML][HTML] Knowledge-enhanced deep reinforcement learning for intelligent event-based load shedding
Event-based load shedding (ELS) is an important emergency countermeasure against
transient voltage instability in power systems. At present, the formulation of ELS measures is …
transient voltage instability in power systems. At present, the formulation of ELS measures is …
[HTML][HTML] Harmonic analysis in distributed power system based on IoT and dynamic compressed sensing
Y Niu, T Yang, F Yang, X Feng, P Zhang, W Li - Energy Reports, 2022 - Elsevier
Massive distributed clean energy takes power electronic equipment as the grid access
connector, which brings serious harmonic pollutions. To monitor the power quality in the …
connector, which brings serious harmonic pollutions. To monitor the power quality in the …
[HTML][HTML] Offline economic dispatch for multi-area power system via hierarchical reinforcement learning
L Yu, D Li, N Li - International Journal of Electrical Power & Energy …, 2023 - Elsevier
In this paper, a novel hierarchical reinforcement learning (HRL) architecture is put forward to
resolve the multi-area economic dispatch (MAED) problem in a fully off-line optimization …
resolve the multi-area economic dispatch (MAED) problem in a fully off-line optimization …
An accurate and fast start-up scheme for power system real-time emergency control
With the development of PMUs in power systems, the response-based real-time emergency
control becomes a promising way to prevent power outages when power systems are …
control becomes a promising way to prevent power outages when power systems are …
Convex neural networks based reinforcement learning for load frequency control under denial of service attacks
With the increase in the complexity and informatization of power grids, new challenges, such
as access to a large number of distributed energy sources and cyber attacks on power grid …
as access to a large number of distributed energy sources and cyber attacks on power grid …
A stream processing framework based on linked data for information collaborating of regional energy networks
Coordinating of energy networks to form a city-level multidimensional integrated energy
system becomes a new trend in Energy Internet (EI). The collaborating in the information …
system becomes a new trend in Energy Internet (EI). The collaborating in the information …